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The document presents a statistical analysis of a dataset containing 166 responses to a questionnaire, focusing on reliability, frequencies, descriptives, regression, and correlations. The reliability analysis yielded a Cronbach's Alpha of 0.821 for eight items, indicating good internal consistency. Regression results show significant relationships between the dependent variables OPI, OCR, and BA, with notable coefficients and statistical significance.

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ghaziibnekhalid
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8 views12 pages

Output

The document presents a statistical analysis of a dataset containing 166 responses to a questionnaire, focusing on reliability, frequencies, descriptives, regression, and correlations. The reliability analysis yielded a Cronbach's Alpha of 0.821 for eight items, indicating good internal consistency. Regression results show significant relationships between the dependent variables OPI, OCR, and BA, with notable coefficients and statistical significance.

Uploaded by

ghaziibnekhalid
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Reliability

Notes
Output Created 16-JUN-2025 22:48:32
Comments
Input Data C:\Users\Personel\
Downloads\
Questionnaire
(Responses) (1) -
Questionnaire
(Responses)
(1).csv.csv
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 166
Data File
Matrix Input
Missing Value Definition of Missing User-defined missing
Handling values are treated as
missing.
Cases Used Statistics are based on
all cases with valid
data for all variables in
the procedure.
Syntax RELIABILITY
/VARIABLES=Iintendto
buyKhaadiclothingthro
ughonlineshoppingplat
form
IintendtobuyKhaadiclot
hingonlineoutofnecessi
ty
Peoplearoundmeadvis
edmetobuyKhaadicloth
ingonline
Peoplearoundmereco
mmendedKhaadiduetoi
tsaffordablepricin
IprefertobuyKhaadiclot
hingoverotherclothingb
rands
IintendtobuyKhaadipro
ductsonlineratherthanv
isitingphys
Iliketoexploredifferentcl
othingbrandsbeforepur
chasingKh
WhenIwanttobuyclothi
ngIsearchforinformatio
naboutKhaa
/SCALE('ALL
VARIABLES') ALL
/MODEL=ALPHA.

Resources Processor Time 00:00:00.02


Elapsed Time 00:00:00.01

Scale: ALL VARIABLES

Case Processing Summary


N %
Case Valid 164 98.8
s Exclude 2 1.2
d a

Total 166 100.0


a. Listwise deletion based on all
variables in the procedure.

Reliability
Statistics
Cronbach's N of
Alpha Items
.821 8

Frequencies

Notes
Output Created 16-JUN-2025 22:56:55
Comments
Input Data C:\Users\Personel\
Downloads\
Questionnaire
(Responses) (1) -
Questionnaire
(Responses)
(1).csv.csv
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 166
Data File
Missing Value Definition of Missing User-defined missing
Handling values are treated as
missing.
Cases Used Statistics are based on
all cases with valid
data.
Syntax FREQUENCIES
VARIABLES=Gender
Age Education
/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.03


Elapsed Time 00:00:00.11

Statistics
Educati
Gender Age on
N Valid 163 166 166
Missin 3 0 0
g

Frequency Table

Gender
Frequen Valid Cumulative
cy Percent Percent Percent
Valid Male 53 31.9 32.5 32.5
Femal 110 66.3 67.5 100.0
e
Total 163 98.2 100.0
Missin Syste 3 1.8
g m
Total 166 100.0

Age
Frequen Valid Cumulative
cy Percent Percent Percent
Valid 1 34 20.5 20.5 20.5
2 121 72.9 72.9 93.4
3 9 5.4 5.4 98.8
4 1 .6 .6 99.4
5 1 .6 .6 100.0
Total 166 100.0 100.0

Education
Frequen Valid Cumulative
cy Percent Percent Percent
Valid 1 22 13.3 13.3 13.3
2 116 69.9 69.9 83.1
3 12 7.2 7.2 90.4
4 13 7.8 7.8 98.2
5 3 1.8 1.8 100.0
Total 166 100.0 100.0

Descriptives

Notes
Output Created 16-JUN-2025 22:58:16
Comments
Input Data C:\Users\Personel\
Downloads\
Questionnaire
(Responses) (1) -
Questionnaire
(Responses)
(1).csv.csv
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 166
Data File
Missing Value Definition of Missing User defined missing
Handling values are treated as
missing.
Cases Used All non-missing data
are used.
Syntax DESCRIPTIVES
VARIABLES=OPI
OCR BA
/STATISTICS=MEAN
STDDEV MIN MAX.

Resources Processor Time 00:00:00.00


Elapsed Time 00:00:00.12

Descriptive Statistics
Minimu Maximu Std.
N m m Mean Deviation
OPI 164 1.13 5.00 2.9253 .71193
OCR 157 1.00 5.00 2.9403 .63068
BA 159 1.00 5.00 2.5566 .74507
Valid N 153
(listwise)

Regression

Notes
Output Created 16-JUN-2025 23:04:29
Comments
Input Data C:\Users\Personel\
Downloads\
Questionnaire
(Responses) (1) -
Questionnaire
(Responses)
(1).csv.csv
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 166
Data File
Missing Value Definition of Missing User-defined missing
Handling values are treated as
missing.
Cases Used Statistics are based on
cases with no missing
values for any variable
used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
TOLERANCE(.0001)
/NOORIGIN
/DEPENDENT OPI
/METHOD=ENTER
OCR.

Resources Processor Time 00:00:00.02


Elapsed Time 00:00:01.17
Memory Required 3680 bytes
Additional Memory 0 bytes
Required for Residual
Plots

Variables Entered/Removeda
Mod Variables Variables
el Entered Removed Method
1 OCR b
. Enter
a. Dependent Variable: OPI
b. All requested variables entered.

Model Summary
Mod R Adjusted R Std. Error of
el R Square Square the Estimate
1 .717a .514 .511 .49481
a. Predictors: (Constant), OCR
ANOVAa
Sum of Mean
Model Squares df Square F Sig.
1 Regressi 39.896 1 39.896 162.948 <.001b
on
Residual 37.705 154 .245
Total 77.601 155
a. Dependent Variable: OPI
b. Predictors: (Constant), OCR

Coefficientsa
Standardize
Unstandardized d
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Consta .555 .190 2.926 .004
nt)
OCR .804 .063 .717 12.765 <.001
a. Dependent Variable: OPI

Regression

Notes
Output Created 16-JUN-2025 23:07:40
Comments
Input Data C:\Users\Personel\
Downloads\
Questionnaire
(Responses) (1) -
Questionnaire
(Responses)
(1).csv.csv
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 166
Data File
Missing Value Definition of Missing User-defined missing
Handling values are treated as
missing.
Cases Used Statistics are based on
cases with no missing
values for any variable
used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
TOLERANCE(.0001)
/NOORIGIN
/DEPENDENT BA
/METHOD=ENTER
OCR.

Resources Processor Time 00:00:00.02


Elapsed Time 00:00:00.02
Memory Required 3680 bytes
Additional Memory 0 bytes
Required for Residual
Plots

Variables Entered/Removeda
Mod Variables Variables
el Entered Removed Method
1 OCRb . Enter
a. Dependent Variable: BA
b. All requested variables entered.

Model Summary
Mod R Adjusted R Std. Error of
el R Square Square the Estimate
1 .626 a
.391 .387 .56440
a. Predictors: (Constant), OCR

ANOVAa
Sum of Mean
Model Squares df Square F Sig.
1 Regressi 31.127 1 31.127 97.715 <.001b
on
Residual 48.419 152 .319
Total 79.545 153
a. Dependent Variable: BA
b. Predictors: (Constant), OCR

Coefficientsa
Standardize
Unstandardized d
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Consta .414 .218 1.897 .060
nt)
OCR .715 .072 .626 9.885 <.001
a. Dependent Variable: BA

Regression

Notes
Output Created 16-JUN-2025 23:08:25
Comments
Input Data C:\Users\Personel\
Downloads\
Questionnaire
(Responses) (1) -
Questionnaire
(Responses)
(1).csv.csv
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 166
Data File
Missing Value Definition of Missing User-defined missing
Handling values are treated as
missing.
Cases Used Statistics are based on
cases with no missing
values for any variable
used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
TOLERANCE(.0001)
/NOORIGIN
/DEPENDENT OPI
/METHOD=ENTER
BA.

Resources Processor Time 00:00:00.02


Elapsed Time 00:00:00.02
Memory Required 3680 bytes
Additional Memory 0 bytes
Required for Residual
Plots

Variables Entered/Removeda
Mod Variables Variables
el Entered Removed Method
1 BAb . Enter
a. Dependent Variable: OPI
b. All requested variables entered.

Model Summary
Mod R Adjusted R Std. Error of
el R Square Square the Estimate
1 .598 a
.357 .353 .57365
a. Predictors: (Constant), BA

ANOVAa
Sum of Mean
Model Squares df Square F Sig.
1 Regressi 28.561 1 28.561 86.793 <.001b
on
Residual 51.336 156 .329
Total 79.897 157
a. Dependent Variable: OPI
b. Predictors: (Constant), BA

Coefficientsa
Standardize
Unstandardized d
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Consta 1.481 .163 9.073 <.001
nt)
BA .571 .061 .598 9.316 <.001
a. Dependent Variable: OPI

Correlations

Notes
Output Created 16-JUN-2025 23:09:20
Comments
Input Data C:\Users\Personel\
Downloads\
Questionnaire
(Responses) (1) -
Questionnaire
(Responses)
(1).csv.csv
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 166
Data File
Missing Value Definition of Missing User-defined missing
Handling values are treated as
missing.
Cases Used Statistics for each pair
of variables are based
on all the cases with
valid data for that pair.
Syntax CORRELATIONS
/VARIABLES=OPI
OCR BA
/PRINT=TWOTAIL
NOSIG FULL
/MISSING=PAIRWISE.

Resources Processor Time 00:00:00.00


Elapsed Time 00:00:00.48

Correlations
OPI OCR BA
OPI Pearson 1 .717** .598**
Correlation
Sig. (2-tailed) <.001 <.001
N 164 156 158
OCR Pearson .717 **
1 .626**
Correlation
Sig. (2-tailed) <.001 <.001
N 156 157 154
BA Pearson .598 **
.626 **
1
Correlation
Sig. (2-tailed) <.001 <.001
N 158 154 159
**. Correlation is significant at the 0.01 level (2-tailed).

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